Guishenwan （GSW）， originating from Jingyue Quanshu （Zhang Jingyue's Complete Works）， is a classic traditional Chinese medicine （TCM） formula with a history of over 400 years. Designed for kidney essence deficiency syndrome， it is clinically applied to treat diseases associated with essence-blood deficiency， such as ovarian insufficiency diseases in women， oligospermia-induced infertility in men， and lumbar disc herniation. Numerous studies have confirmed its significant efficacy and advantages in managing ovarian insufficiency diseases， including diminished ovarian reserve （DOR）， premature ovarian insufficiency （POI）， and premature ovarian failure （POF）. According to recent literature， the therapeutic mechanisms of GSW in treating ovarian insufficiency diseases involve regulating the hypothalamic-pituitary-ovarian axis （HPOA） function， ameliorating reproductive endocrine disorders， improving ovarian function， modulating relevant signaling pathways， and exerting immunoregulatory and anti-inflammatory effects. A review of GSW in clinical treatment revealed that clinical applications of GSW， particularly in combination with Western medicine， not only alleviate symptoms but also compensate for the limitations of hormone replacement therapy， thereby reducing recurrence， minimizing adverse reactions， and enhancing safety. This review aims to provide a scientific basis for the rational clinical use of GSW in ovarian insufficiency diseases， offer innovative TCM strategies for developing novel ovarian-protective drugs， promote the integration of TCM and Western medicine in reproductive medicine， and ultimately contribute a Chinese approach to global management of ovarian insufficiency diseases.

ObjectiveTo investigate the possible mechanism of Jishe Qushi Capsule （脊蛇祛湿胶囊， JQC） in treating rheumatoid arthritis （RA） from the perspective of macrophage polarization mediated by neutrophil extracellular traps （NETs）. MethodsTwenty-four female SD rats were randomly divided into four groups， blank control group， model group， JQC group， and peptidylarginine deiminase 4 （PAD4） inhibitor group with 6 rats in each group. All groups but the blank control group were subjected to the induction of collagen-induced arthritis （CIA）. After successful model establishment， rats in the JQC group received intragastric administration of JQC 1.47 g/kg daily； rats in the PAD4 inhibitor group received intraperitoneal injections of the PAD4 inhibitor 4 mg/kg weekly. Rats in the blank， model， and PAD4 inhibitor groups received 2 ml of pure water daily by gavage. All treatments lasted 4 weeks. Joint lesions of each group were assessed on day 7， 14， 21， 28， and 35 after model establishment， and arthritis index （AI） scores were recorded. At 24 h after the final administration， histopathology of knee joints， including HE staining， safranin O-fast green staining， and TRAP staining， was performed. Flow cytometry was used to detect the counts of M1 and M2 macrophages in peripheral blood. ELISA was used to determine serum levels of TRACP， NETs， TNF-α， IL-1β， and iNOS. Western Blotting and qRT-PCR were used to measure MPO， NE， RANKL， OPG， and p65 protein and mRNA expression in knee cartilage tissue. ResultsCompared with the blank control group， the model group showed increased AI scores （P＜0.05）， marked synovial inflammatory infiltration， angiogenesis， and bone-cartilage destruction， increased TRAP-positive osteoclasts， increased M1 macrophages and decreased M2 macrophages， elevated serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， elevated MPO， NE， RANKL， and p65 protein/mRNA expression and decreased OPG protein/mRNA expression in knee cartilage tissue （P＜0.05）. Compared with the model group， the JQC group exhibited improved synovial inflammation， angiogenesis， and bone-cartilage damage， reduced AI scores on day 21， 28， and 35， decreased osteoclast counts， decreased M1 macrophages and increased M2 macrophages， reduced serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， decreased MPO， NE， RANKL， and p65 protein/mRNA expression and increased OPG expression （P＜0.05）. Compared with the PAD4 inhibitor group， the JQC group showed significantly lower AI scores， reduced M1 macrophages， increased M2 macrophages （P＜0.05）， reduced serum TRACP， TNF-α， IL-1β， and iNOS， decreased MPO， RANKL， and p65 expression， and increased OPG levels （P＜0.05）. ConclusionThe therapeutic mechanism of JQC for RA may involve inhibition of NETs formation， downregulation of the RANKL/NF-κB signaling pathway， and regulation of macrophage M1/M2 polarization imbalance， thereby suppressing osteoclastogenesis and inflammatory bone destruction.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and a major cause of chronic kidney disease and kidney failure. IgAN exhibits marked heterogeneity in clinical presentation, histopathology, and pathogenic mechanisms, contributing to variable treatment responses and prognosisamong patients. Precise risk assessment and individualized intervention are therefore of critical importance. This review systematically traces the evolution of IgAN management from traditional risk stratification toward biomarker-driven precision medicine. We first review the clinical utility and limitations of established risk stratification tools, including the KDIGO guidelines, the Oxford MEST-C classification, and the International IgAN Prediction Tool. We then discuss emerging biomarkers closely linked to disease pathogenesis, including galactose-deficient IgA1 (Gd-IgA1), anti-Gd-IgA1 autoantibodies, B cell activating factor (BAFF), a proliferation-inducing ligand (APRIL), and complement components, as well as the targeted therapies they have informed. In addition, urinary biomarkers and multi-omics approaches show promise for dynamic disease monitoring and individualized risk stratification.

OBJECTIVE To provide reference for medical institutions to establish the record management mode and review rules of off-label use of 5-aminolevulinic acid （ALA） in photodynamic therapy based on the level of evidence. METHODS All ALA-containing outpatient prescriptions in the rational drug use system in our hospital from January 1， 2024 to December 31， 2025 were retrospectively collected. Based on the drug instructions， the current status of off-label use of ALA in photodynamic therapy was identified . The relevant studies in Micromedex， PubMed， CNKI， Wanfang Data and other databases were systematically searched as the relevant evidence-based evidence of ALA off-label use. According to the Off-label Drug Use Filing Standard of the hospital，the evidence-based evaluation method was used to evaluate the evidence-based evidence of ALA off-label use and carry out hierarchical management. RESULTS A total of 1 803 effective prescriptions were included， of which 676 （37.49%） were off-label use， distributed in the dermatology department （564 prescriptions，83.43%） and the plastic surgery department （112 prescriptions，16.57%）. All 676 prescriptions were off-indications medication， involving ten types of skin diseases， primarily including moderate to severe acne （39.94%）， skin warts （25.44%）， Bowen’s disease （11.98%）， and others. According to evidence-based evidence，off-label uses such as moderate to severe acne， actinic keratosis， and Bowen’s disease were managed according to the evidence categoryⅠ orⅡ.The uses of extramammary Paget’s disease and rosacea were managed according to the evidence category Ⅲ.The uses of lichen sclerosus and keloids were managed according to the evidence category Ⅳ.The results of evidence-based evaluation showed that 92.01% of off-label use in our hospital had high-level evidence-based support （ evidence category was gradeⅠ-Ⅱ）. CONCLUSIONS Off-label uses supported by high-level evidence， such as moderate to severe acne， skin warts， and Bowen’s disease， can be managed under filing category Ⅰ or Ⅱ. For the use of lichen sclerosus and keloids， evidence-based evidence is insufficient and should be strictly restricted.The vast majority of ALA off-label use in our hospital has sufficient evidence-based basis.

Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

To improve the targeted therapeutic effect of magnolol (Mag) on neuroblastoma, Mag-loaded mitochondria-targeting immunoliposomes modified by datuximab (aGD2) and triphenylphosphine (TPP) (Mag/aGD2-T-ILN) were prepared, and their physicochemical properties, targeting characteristics and anti-tumor activity were evaluated. Physico-chemical properties showed that the surface of Mag/aGD2-T-ILN was smooth and spherical, with good dispersibility. The particle sizes, PDI and Zeta potentials of Mag/aGD2-T-ILN were measured to be (136.5 ± 5.1) nm, 0.184 ± 0.010 and (27.5 ± 3.6) mV, respectively. Mag/aGD2-T-ILN could release the drug continuously and slowly, and maintain good stability at 4 ℃. Cytotoxicity test exhibited that the IC50 of 2-ME/aGD2-T-ILN was (4.07 ± 0.48) µmol/L, and compared with free Mag, the toxicity of Mag/aGD2-T-ILN to SH-SY5Y cells increased by 6.4 times. Cellular binding and uptake assays suggested that Rho-aGD2-T-ILN could specifically target GD2-positive tumor cells and then further reach their mitochondria. Therapeutic efficacy indicated that Mag/aGD2-T-ILN could better suppress the growth of SH-SY5Y tumor cells in the body with lower toxicity and less side-effects. The results demonstrated that the Mag/aGD2-T-ILN nanoparticles system could achieve intracellular endocytosis through specific binding of antibodies and antigens between the carrier and the surface of tumor cells and electrostatic interaction, then effectively delivered and released the drugs into mitochondria by crossing the mitochondrial phospholipid membrane through TPP, and thus achieving mitochondria-targeting therapy of Mag/aGD2-T-ILN. Through the construction of this active targeting delivery system, the clinical application value of datuximab and Mag is improved, providing a novel approach for the clinical treatment of neuroblastoma.

Abstract Recently, the Ministry of Education issued Guiding Opinions on Comprehensively Promoting the Construction of Healthy Schools hereinafter referred to as the Guiding Opinions, which systematically established the goal system, key tasks, critical measures, and safeguard mechanisms for the construction of healthy schools in the new era. Against the backdrop, comprehensively promoting the construction of healthy schools has become a core project for implementing the concept of "Health First", carrying out joint prevention and control of multiple diseases, and responding to national action plans. Based on a systematic analysis of the internal logic between healthy school construction and the "education powerhouse strategy", the study deeply expounds on its core mission as a "foundational project for talent cultivation" and a "hub for the integration of five educations". Combining the eight key tasks and three critical measures clarified in the Guiding Opinions, it constructs a multi dimensional, systematic, and operable implementation path from the aspects of concept leadership and practice internalization, data monitoring and closed loop management, team support and environmental optimization, literacy promotion and evaluation innovation, innovation drive and characteristic development,digital empowerment and smart governance. The study provides a forward looking and strategic comprehensive solution for improving the collective health literacy of students and building a comprehensive prevention and control system for common campus diseases in the new era.

Objective: To analyze the effects of maternal gestational weight gain and pre pregnancy body mass index (BMI) on the weight of preschool children,so as to provide scientific basis for prevention and treatment of overweight and obesity in children. Methods: Based on Jiangmen maternal and child health information platform, annual physical examination data of 3-6 years old preschool children from all nurseries and kindergartens in Jiangmen were collected from January to December 2024. A unique identification was made according to the mother s ID number and delivery date, and retrospective data collection was conducted on the platform to obtain pre pregnancy and pregnancy related information for 46 481 mothers. The Chi-square test,two way ordered variable analysis and Logistic regression analysis were used to compare the effects of maternal pre pregnancy BMI and gestational weight gain on overweight and obesity among preschool children. Results: A total of 5 168 (11.12%) children were overweight and obese, and the proportion of overweight and obesity in the 6 year old group was the highest (12.86%). There were significant differences in the detection rates of overweight and obesity between boys and girls ( χ 2=155.38), and there were also significant gender differences in the age groups of 4, 5 and 6 years ( χ 2=17.08, 96.97, 66.27)(all P <0.01). Through trend χ 2 test, the overall detection rates of overweight and obesity, as well as those for boys, increased with age ( χ 2 trend =49.36,60.54, both P <0.01). The BMI group of preschool children was correlated with the BMI group of their mothers before pregnancy and the weight gain group during pregnancy （χ 2= 1 250.64, 157.01, both P <0.01) and the proportion of children with higher BMI levels showed an upward trend with the improvement of their mothers pre-pregnancy BMI levels or gestational weight gain levels ( Gamma =0.13, 0.10, both P <0.01). Multiple Logistic regression analysis showed that pre pregnancy BMI groups as overweight ( OR =1.590, 1.922), obesity ( OR =2.100, 2.921 ), and male gender of the children ( OR =1.213, 1.763)，and newborns excessive birth weight( OR =1.001，1.001) increased the risks of overweight and obesity in preschool children; maternal gestational weight gain insufficiency ( OR =1.374) and advanced maternal age at the first prenatal visit ( OR =1.012) increased the risks of obesity in preschool children; maternal gestational weight gain deficiency or excess ( OR =1.324,1.118) increased the risk of overweight in preschool children (all P <0.01). Conclusions Maternal pre-pregnancy overweight and obesity and insufficient or excessive gestational weight gain increase the risk of overweight and obesity in preschool children. It is necessary to strengthen weight management before and during pregnancy to reduce the occurrence of childhood overweight and obesity.

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

Optical microscopy is essential for exploring biological and material structures, with resolution determining the level of observable detail. The advent of super-resolution fluorescence microscopy has broken the diffraction limit, achieving nanoscale resolution. However, traditional assessment methods, such as the Rayleigh criterion and point spread function (PSF) width measurement, rely on empirical judgments and diffraction-limited models, rendering them inadequate for modern super-resolution imaging. This review systematically traces the evolution of resolution assessment methodologies, from classical criteria to advanced strategies tailored for various super-resolution modalities. We first discuss Fourier-based quantitative methods. Fourier ring correlation (FRC) and its 3D counterpart, Fourier shell correlation (FSC), objectively determine resolution by evaluating the statistical correlation of two independent image reconstructions in frequency space. These methods offer robustness against noise and provide a global resolution metric, but they require data independence and are computationally intensive. They have become the prevailing standards in electron and super-resolution microscopy. Subsequently, we examine adaptations for specific super-resolution techniques. For single-molecule localization microscopy (SMLM) techniques such as PALM and STORM, the Fourier image resolution (FIRE) method extends FRC by incorporating a physical model that accounts for localization precision and labeling density. For stimulated emission depletion (STED) microscopy and other nonlinear techniques, assessment strategies differ. While PSF shrinkage measurements using fluorescent beads are useful for system calibration, evaluating the effective resolution directly on biological samples is more practical. This is typically performed via linewidth analysis of known structures (e.g., microtubules) or edge-spread function measurements, capturing the effects of photobleaching and sample-induced aberrations. A major paradigm shift is parameter-free resolution estimation based on decorrelation analysis. This method analyzes the autocorrelation decay of a single image’s Fourier spectrum to identify the cutoff spatial frequency without requiring dual datasets or user-defined thresholds. Its high efficiency and broad applicability have been validated across widefield, confocal, STED, SIM, and SMLM modalities. Optimized rendering strategies for SMLM data further enhance its accuracy, and it is emerging as a tool for real-time optimization of experimental parameters. The review also addresses the “gold standard” of resolution validation using well-defined nanostructures, such as DNA origami and nuclear pore complexes, which provide ground truth for verifying resolution claims and detecting artifacts. In the era of artificial intelligence, deep learning plays a dual role: it powerfully enhances image resolution but also introduces challenges, as models may generate “hallucinations” or false details. This underscores the need for new validation metrics to verify the physical fidelity of AI-generated content. Finally, we outline future directions: developing unified cross-modality standards, enabling real-time dynamic resolution monitoring for live-cell imaging, creating techniques for generating local resolution maps to capture sample heterogeneity, and integrating intelligent error correction to ensure data veracity. By providing a comprehensive overview of resolution assessment progress and challenges, this review aims to equip researchers with the knowledge to select appropriate tools, thereby fostering rigorous quantitative imaging in the life and material sciences.